METHODS AND SYSTEMS FOR PRIORITIZING USER SYMPTOM COMPLAINT INPUTS

A system for prioritizing user symptom complaint inputs. The system includes a KNN module operating on at least a computing device configured to receive a plurality of symptom complaint datums, receive suspected disease state training data, calculate an optimal vector output utilizing a k-nearest neighbor algorithm and generate an optimal vector output containing a suspected disease state. The system includes a triage module operating on at least a computing device configured to receive the optimal vector output, generate a triage urgency category label, select triage training data as a function of the triage urgency label, generate using a supervised machine-learning model a disease criticality model, evaluate the disease criticality score, and display the ranked disease criticality score for each of the plurality of suspected disease states.